Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit310-04-20020701_170500_20020701_215300-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/07/01 |
Start Time | | 2002/07/01 17:05 |
End Time | | 2002/07/01 21:51 |
Key Words | | Facsko et al 2016: 1-year run of GUMICS |
Model | | GUMICS |
Model Version | | 4-HC |
Validation Level | | 1 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSE |
Dipole Tilt, in the X-Z Plane, at Start deg | | -30.91 |
Dipole Tilt, in Y-Z GSE plane, deg | | -3.46 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 152.30000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit310-04-20020701_170500_20020701_215300-constBx0 |
Minimum Dst Value | | -11 |
SW Source | | DSCOVR-realtime |
Diagnostic Indices | | NO |
|
View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for GOES-10 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
| VMR Tools created by Darren De Zeeuw. |